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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HI dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7805
  • Wer: 0.4340

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0003
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 8000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 1.36 400 1.9130 0.9244
5.0013 2.71 800 0.7789 0.5944
0.6544 4.07 1200 0.7298 0.5852
0.4021 5.42 1600 0.6978 0.5667
0.3003 6.78 2000 0.6764 0.5382
0.3003 8.14 2400 0.7249 0.5463
0.2345 9.49 2800 0.7280 0.5124
0.1993 10.85 3200 0.7289 0.4690
0.1617 12.2 3600 0.7431 0.4733
0.1432 13.56 4000 0.7448 0.4733
0.1432 14.92 4400 0.7746 0.4485
0.1172 16.27 4800 0.7589 0.4742
0.1035 17.63 5200 0.7539 0.4353
0.0956 18.98 5600 0.7648 0.4495
0.0845 20.34 6000 0.7877 0.4719
0.0845 21.69 6400 0.7884 0.4434
0.0761 23.05 6800 0.7796 0.4386
0.0634 24.41 7200 0.7729 0.4306
0.0571 25.76 7600 0.7826 0.4298
0.0508 27.12 8000 0.7805 0.4340

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.1+cu102
  • Datasets 1.18.3
  • Tokenizers 0.11.0
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Dataset used to train kapilkd13/xls-r-300m-hi-prod

Evaluation results

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